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Source channel @githubtrending · Post #15212 · Oct 10

#typescript#agent#agent_platform#ai_plugins#chatbot#chatbot_framework#coze#coze_platform#generative_ai#go#kouzi#low_code_ai#multimodel_ai#no_code#rag#studio#typescript#workflow Coze Studio is an easy-to-use, all-in-one platform for building AI agents and apps without needing much coding. It offers visual tools to design, debug, and deploy AI projects quickly using drag-and-drop workflows, plugins, and large language models like GPT-4. You can create smart assistants, chatbots, or custom AI apps with ready templates and manage models, knowledge bases, and plugins in one place. It supports no-code and low-code development, making AI accessible to both beginners and professionals, saving you time and effort in building powerful AI solutions tailored to your needs. It also supports multi-model integration and easy deployment. https://github.com/coze-dev/coze-studio

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Interesting Planet 🌍

@interesting_planet_facts · Post #1053 · 11/19/2025, 06:11 PM

🌎 In 1977, the Soviet Venera 14 probe recorded mysterious low-frequency “thunder”-like sounds on Venus. Scientists now attribute these to seismic activity or wind interacting with the planet’s dense atmosphere. Venus’s surface winds move slowly, but thick air carries sound much farther than on Earth. ✨ #Venus⚡#sounds⚡#space 👉subscribe Interesting Planet 👉more Channels ​

djangoproject

@djangoproject · Post #255 · 02/02/2017, 06:57 PM

https://github.com/tyiannak/pyAudioAnalysis #pyAudioAnalysis is a Python library covering a wide range of audio analysis tasks. Through pyAudioAnalysis you can: Extract #audio features and representations (e.g. mfccs, spectrogram, chromagram) Classify unknown #sounds Train, parameter tune and evaluate classifiers of audio segments Detect audio events and exclude silence periods from long recordings Perform supervised segmentation (joint segmentation - classification) Perform unsupervised segmentation (e.g. speaker diarization) Extract audio thumbnails Train and use audio regression models (example application: emotion recognition) Apply dimensionality reduction to visualize audio data and content similarities